Full-text search across motion-capture, threat-intel, and rehab datasets. Matches labels, paths, competitor names, techniques. Returns full lesson detail with pricing so you can immediately call purchase tools. Free.

AI-powered semantic search across web content

Search arXiv for academic papers in computer science, machine learning, AI, physics, and mathematics. Returns paper titles, authors, abstracts, submission dates, and direct PDF download links. Use for researching algorithms, ML techniques, or emerging CS topics.

Get multi-touch attribution model results for a campaign. Supported models: time_decay, position_based, attention_weighted. WHEN TO USE: - Understanding how DOOH fits into the full marketing funnel - Seeing credit allocation across DOOH, mobile, web, and store channels - Quantifying DOOH's contribution to conversions RETURNS: - totalChains: number of multi-touch journeys found - avgTouchpoints: average touchpoints per chain - channelAttribution: { dooh, mobile, web, store } (each 0-1, sums to 1) - conversions: total conversion events - totalConversionValue: sum of conversion values (cents) - avgConfidence: average match confidence across chains Returns null if no multi-touch chains exist.

Search the web using Bing. Returns organic results, related searches and more. Alternative to Google for web search with different ranking algorithms and results.

Get cross-channel customer journey data (Sankey flow) for a campaign. Shows how users flow between channels: DOOH -> mobile -> web -> store. WHEN TO USE: - Visualizing the customer journey across DOOH and digital channels - Understanding channel transition patterns - Building Sankey diagrams of marketing funnels RETURNS: - flows: Array of { source, target, count } transitions between channels - channels: Array of { channel, touchpoints, uniqueDevices } distribution